Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning

Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning

Background and purpose: Peer-review of Target Volume (TV) and Organ at Risk (OAR) contours in radiotherapy planning are typically conducted visually; this can be time consuming and subject to interobserver variation. This study investigated automatic evaluation of contouring using conformity indices...

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Bibliographic Details
Main Authors: Samsara Terparia, Romaana Mir, Yat Tsang, Catharine H Clark, Rushil Patel
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Machine learning
Conformity index
Quality assurance
Interobserver variation
Delineation
SABR
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631620300713

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